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                <div id="site-name"><a href="../../sphinx_pages/build/html/index.html">Shark machine learning library</a></div>
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<div class="textblock">Here is a list of all typedefs with links to the classes they belong to:</div>

<h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
<li>IndexSet&#160;:&#160;<a class="el" href="classshark_1_1_c_v_folds.html#aefd7fec613275b78bcc1eedfc0694b2f">shark::CVFolds&lt; DatasetTypeT &gt;</a>, <a class="el" href="group__shark__globals.html#ga3765fd3c920db97545a11dca09b75224">shark::Data&lt; Type &gt;</a>, <a class="el" href="group__shark__globals.html#gaee99a1f7070bf91bd40cd660fc9411b4">shark::LabeledData&lt; InputT, LabelT &gt;</a></li>
<li>IndividualType&#160;:&#160;<a class="el" href="classshark_1_1_c_m_a.html#a2544cd9f49fe9579d351e2689e3bd96f">shark::CMA</a>, <a class="el" href="classshark_1_1_c_m_s_a.html#a0bd0898a6c54f0c8fea60a019b48f9e9">shark::CMSA</a>, <a class="el" href="classshark_1_1_cross_entropy_method.html#acbabcff8f468967d08c6698674ba32c1">shark::CrossEntropyMethod</a>, <a class="el" href="classshark_1_1_indicator_based_m_o_c_m_a.html#ab19c079df0cdfc32f8b8f89218f829c0">shark::IndicatorBasedMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_real_coded_n_s_g_a_i_i.html#af078c26b1f2d382bc24cdf68ccf9db9b">shark::IndicatorBasedRealCodedNSGAII&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_indicator_based_steady_state_m_o_c_m_a.html#a521970b9e59b8dd45c89ec32588ac105">shark::IndicatorBasedSteadyStateMOCMA&lt; Indicator &gt;</a>, <a class="el" href="classshark_1_1_m_o_e_a_d.html#a43d6f645e0cf4994581301ab8cf868d6">shark::MOEAD</a>, <a class="el" href="classshark_1_1_r_v_e_a.html#a8bb1e998e00dd942159e31a2a9381198">shark::RVEA</a>, <a class="el" href="classshark_1_1_s_m_s_e_m_o_a.html#a4aa64963d8c067f26d3ea4f3ff14cb8b">shark::SMSEMOA</a></li>
<li>InputContainer&#160;:&#160;<a class="el" href="group__shark__globals.html#ga625c6a82bf244c493a35c90b029f8c87">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="group__shark__globals.html#ga9ac116ed8ec0edc98bb10da4735476d7">shark::UnlabeledData&lt; InputT &gt;</a></li>
<li>InputKernelType&#160;:&#160;<a class="el" href="classshark_1_1_multi_task_kernel.html#a0d051d2915088b7675e02fd1af7088e4">shark::MultiTaskKernel&lt; InputTypeT &gt;</a></li>
<li>InputReferenceType&#160;:&#160;<a class="el" href="classshark_1_1_qp_mc_linear.html#a88e09c2e6decd1e35f0755f0faf982f7">shark::QpMcLinear&lt; InputT &gt;</a></li>
<li>InputType&#160;:&#160;<a class="el" href="classshark_1_1_abstract_clustering.html#a519bea30fafabdaff33a85a1c27b8a85">shark::AbstractClustering&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_abstract_kernel_function.html#a808acb34b9c95c6af0f48177d554bd59">shark::AbstractKernelFunction&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_metric.html#a8ef376e183e0fac88fc9234204c75569">shark::AbstractMetric&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4">shark::AbstractModel&lt; InputTypeT, OutputTypeT, ParameterVectorType &gt;</a>, <a class="el" href="classshark_1_1_abstract_trainer.html#a0cfa7cdd27b8bb162e64188095f8fa71">shark::AbstractTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_unsupervised_trainer.html#a9c951f84222a7bc22185b6e7b11357dd">shark::AbstractUnsupervisedTrainer&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_abstract_weighted_trainer.html#a11e51b154b87ed5e33b6ce2c830cd3d6">shark::AbstractWeightedTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_abstract_weighted_unsupervised_trainer.html#a7b74f3ade481a666eaaf754796d69f05">shark::AbstractWeightedUnsupervisedTrainer&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_classifier.html#a33186c46c8fb9472d9e2c219be2c66f4">shark::Classifier&lt; Model &gt;</a>, <a class="el" href="classshark_1_1_cross_validation_error.html#ac5a70c85054231cbf30bae549588444e">shark::CrossValidationError&lt; ModelTypeT, LabelTypeT &gt;</a>, <a class="el" href="classshark_1_1_gaussian_kernel_matrix.html#a2fb4239f6594b8dae54b61724e9a0b15">shark::GaussianKernelMatrix&lt; T, CacheType &gt;</a>, <a class="el" href="classshark_1_1_gaussian_task_kernel.html#a39fef0a907da511f9b3e3c362a6417df">shark::GaussianTaskKernel&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_hard_clustering_model.html#ae5a2913091b6b3f9265f9dc4320c103a">shark::HardClusteringModel&lt; InputT &gt;</a>, <a class="el" href="group__shark__globals.html#ga95ca0435602c7446d1e5120d07f970af">shark::LabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_loo_error.html#a3d4e7296d56808b83f609ecb70f121aa">shark::LooError&lt; ModelTypeT, LabelType &gt;</a>, <a class="el" href="structshark_1_1_multi_task_sample.html#a900ec372a87978f0487ecb0067ac0fe3">shark::MultiTaskSample&lt; InputTypeT &gt;</a>, <a class="el" href="classshark_1_1_optimization_trainer.html#a6ea1a0177091d87e96112be41b016ed9">shark::OptimizationTrainer&lt; Model, LabelTypeT &gt;</a>, <a class="el" href="group__shark__globals.html#gaf9233782ab54374d89784a0a8272b29f">shark::UnlabeledData&lt; InputT &gt;</a>, <a class="el" href="classshark_1_1_weighted_labeled_data.html#afaf3abc446e7ebb81ca857d73a34a28b">shark::WeightedLabeledData&lt; InputT, LabelT &gt;</a>, <a class="el" href="classshark_1_1_weighted_unlabeled_data.html#aed7e005edba4dee30e735fcac0538f45">shark::WeightedUnlabeledData&lt; DataT &gt;</a></li>
<li>iterator&#160;:&#160;<a class="el" href="structshark_1_1_batch_3_01shark_1_1blas_1_1compressed__vector_3_01_t_01_4_01_4.html#a2238b5dc7eb55874595b6b39f8113ebe">shark::Batch&lt; shark::blas::compressed_vector&lt; T &gt; &gt;</a>, <a class="el" href="classshark_1_1_data_view.html#ab998c6011a12ee2a3fd7d9215564a582">shark::DataView&lt; DatasetType &gt;</a>, <a class="el" href="structshark_1_1_weighted_data_batch.html#a9b970bab9307c3425a433d2582a29c58">shark::WeightedDataBatch&lt; DataBatchType, WeightBatchType &gt;</a></li>
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